---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-id-en
tags:
- generated_from_keras_callback
model-index:
- name: aditnnda/machine_translation_informal2formal
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# aditnnda/machine_translation_informal2formal

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-id-en](https://huggingface.co/Helsinki-NLP/opus-mt-id-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2864
- Validation Loss: 1.0016
- Epoch: 14

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 6000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 3.4298     | 2.4070          | 0     |
| 2.1508     | 1.8031          | 1     |
| 1.6301     | 1.5249          | 2     |
| 1.3013     | 1.3417          | 3     |
| 1.0752     | 1.2465          | 4     |
| 0.9119     | 1.1651          | 5     |
| 0.7778     | 1.1213          | 6     |
| 0.6763     | 1.0813          | 7     |
| 0.5907     | 1.0542          | 8     |
| 0.5162     | 1.0289          | 9     |
| 0.4573     | 1.0265          | 10    |
| 0.4057     | 1.0115          | 11    |
| 0.3645     | 1.0096          | 12    |
| 0.3227     | 1.0037          | 13    |
| 0.2864     | 1.0016          | 14    |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0